Your retailers each send sales in their own shape. DataOZ maps every feed once, then reports gross, commission, GST and net payout the same way across all of them. You see which retailer pays what, which store is growing, and which product still earns after deductions.
One retailer emails a twelve-tab workbook. Another sends a CSV with totals in the wrong row. A third shares a Drive folder that never stops filling up. Each takes a different commission on a different basis, so the one number you need, what you actually earned per retailer, is the one number nobody sends you.
Set a source up once. After that, new files flow straight into the same clean numbers.
Upload Excel or CSV, link a Google Sheet or Drive folder, or connect a REST API. The source side is dynamic, so new connectors slot into the same pipeline.
DataOZ tags each column on its own: date, product, revenue, store. You confirm the mapping once, and it remembers the shape of that file forever.
Revenue over time, top products, store by store, all live and filterable by date and location. Export any of it to a clean spreadsheet.
Files are only the start. If it outputs rows, DataOZ can read it, and because the schema is built per source, no two feeds ever have to look alike.
A source that isn't listed yet? The connector framework is pluggable. New sources slot into the same mapping, cleanup, and dashboards, without touching the ones you already run.
Messy, inconsistent, and split across every retailer you sell to. DataOZ handles each part of that.
Merged cells, cryptic headers, supplier code prefixes. The classifier works out what each column means, so you don't remap every file by hand.
Excel, CSV, Google Drive, a REST API, or a custom connector. Every retailer's feed lands in one set of numbers you can trust.
"SRD Sourdough" and "Sourdough Loaf" become one product. Fuzzy matching catches the duplicates and merges them for you.
Set your own commission, GST, and deduction rules for each retailer. DataOZ works out gross, GST, commission, and net payout on every line, so your accounts team gets reconciliation-ready numbers instead of a shoebox of PDFs.
Drop this week's file in the shared folder. It flows in on its own, on a schedule, with no upload step for you.
Pick your dimensions and metrics, get a table, export a clean .xlsx. Formula-safe, so nothing breaks when it opens.
One dashboard, drawn from every source you've connected. Filter by date, store, or product and it moves together, right down to the payout figures your accounts team needs.
Sample data shown for illustration.
DataOZ isn't a dead end. Pull mapped, deduplicated, GST-reconciled rows back out through a REST API or a scheduled Excel drop, straight into the tools you already run. The same API that reads your sources hands the clean version back.
Your sales figures are commercially sensitive. DataOZ is built so they never touch another vendor's, and so you can walk away with them any time.
PostgreSQL row-level security walls your numbers off from every other vendor. It's enforced at the database, not just trusted to the app layer.
Your Google Drive tokens are encrypted at rest. DataOZ requests the narrowest access that works, and nothing more.
Export any report to a clean spreadsheet whenever you like. Your data is yours to take, in a format that opens anywhere.
Made in Canberra for Australian vendors, with GST handled the way the ATO expects it.
Connect every retailer you sell through for one price. No per-file fees, no per-source charge, no extra cost for the dashboards your team builds.
A pilot on one retailer, before you connect the rest.
Every retailer in one view, synced and reconciled.
For suppliers with high volume and hands-on setup.
Prices in AUD, exclusive of GST · Placeholder pricing pending launch · Running a pilot? Ask about the free tier.
Send one file from each retailer. We map them and show you the reconciled view in fifteen minutes, with nothing to set up on your end.
No credit card. We'll reply within a business day.